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Swarm Autonomy: From Agent Functionalization to Machine Intelligence.

Publication ,  Journal Article
Wang, Y; Chen, H; Xie, L; Liu, J; Zhang, L; Yu, J
Published in: Adv Mater
January 2025

Swarm behaviors are common in nature, where individual organisms collaborate via perception, communication, and adaptation. Emulating these dynamics, large groups of active agents can self-organize through localized interactions, giving rise to complex swarm behaviors, which exhibit potential for applications across various domains. This review presents a comprehensive summary and perspective of synthetic swarms, to bridge the gap between the microscale individual agents and potential applications of synthetic swarms. It is begun by examining active agents, the fundamental units of synthetic swarms, to understand the origins of their motility and functionality in the presence of external stimuli. Then inter-agent communications and agent-environment communications that contribute to the swarm generation are summarized. Furthermore, the swarm behaviors reported to date and the emergence of machine intelligence within these behaviors are reviewed. Eventually, the applications enabled by distinct synthetic swarms are summarized. By discussing the emergent machine intelligence in swarm behaviors, insights are offered into the design and deployment of autonomous synthetic swarms for real-world applications.

Duke Scholars

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Published In

Adv Mater

DOI

EISSN

1521-4095

Publication Date

January 2025

Volume

37

Issue

2

Start / End Page

e2312956

Location

Germany

Related Subject Headings

  • Nanoscience & Nanotechnology
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
  • 09 Engineering
  • 03 Chemical Sciences
  • 02 Physical Sciences
 

Citation

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Wang, Y., Chen, H., Xie, L., Liu, J., Zhang, L., & Yu, J. (2025). Swarm Autonomy: From Agent Functionalization to Machine Intelligence. Adv Mater, 37(2), e2312956. https://doi.org/10.1002/adma.202312956
Wang, Yibin, Hui Chen, Leiming Xie, Jinbo Liu, Li Zhang, and Jiangfan Yu. “Swarm Autonomy: From Agent Functionalization to Machine Intelligence.Adv Mater 37, no. 2 (January 2025): e2312956. https://doi.org/10.1002/adma.202312956.
Wang Y, Chen H, Xie L, Liu J, Zhang L, Yu J. Swarm Autonomy: From Agent Functionalization to Machine Intelligence. Adv Mater. 2025 Jan;37(2):e2312956.
Wang, Yibin, et al. “Swarm Autonomy: From Agent Functionalization to Machine Intelligence.Adv Mater, vol. 37, no. 2, Jan. 2025, p. e2312956. Pubmed, doi:10.1002/adma.202312956.
Wang Y, Chen H, Xie L, Liu J, Zhang L, Yu J. Swarm Autonomy: From Agent Functionalization to Machine Intelligence. Adv Mater. 2025 Jan;37(2):e2312956.
Journal cover image

Published In

Adv Mater

DOI

EISSN

1521-4095

Publication Date

January 2025

Volume

37

Issue

2

Start / End Page

e2312956

Location

Germany

Related Subject Headings

  • Nanoscience & Nanotechnology
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
  • 09 Engineering
  • 03 Chemical Sciences
  • 02 Physical Sciences